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- Genre: Doctoral Dissertation
- Creators: Campbell, Andrew
- Creators: Gu, Bin
- Status: Published
Description冷链物流主要是指食品在生产到消费者食用前始终处于适宜的温度环境，以保障食品品质、降低流通过程中的损耗。冷链物流相比于传统物流而言是一项更复杂的系统性工程，受到政策和市场需求的影响呈现迅猛发展态势。但是，冷链物流企业长期以来因规模小、固定资产少、服务范围窄、服务规范性弱而发展困难重重，核心问题是资金的问题。政府引导和鼓励打造冷链物流产业园，推动产业园投资和建设主体打造平台，实现对园区内冷链企业的聚集效应并通过金融服务解决企业发展的资金问题。通过产融结合助力冷链物流企业发展，成为目前冷链物流行业发展的主要方式和未来趋势。
本研究聚焦冷链物流产业园金融服务助力冷链物流企业发展问题，主要研究内容包括：第一，基于产融结合理论，梳理冷链物流企业与产业园之间关系，从供需两侧探索冷链物流企业和产业园的金融服务的范围、类型和特点。第二，基于平台理论，构建冷链物流企业采纳产业园金融服务的研究模型，探索金融服务影响冷链物流企业的经营因素，分析冷链物流企业采纳产业园金融服务的因素和途径。第三，基于信息不对称理论，关切信息技术支持和知识分享在冷链物流企业采纳产业园提供金融服务过程中的调节作用。同时，梳理产业园提供金融服务可能面临哪些风险，制订冷链物流企业入驻园区的标准，防范风险。
本文运用实证研究方法，通过对国内18家冷链物流相关的产业园、物流园、冷链物流、商贸流通、金融等企业实地考察和专家访谈基础上，拟定问卷并对268家企业进行调查收集数据，使用结构方程模型进行假设检验。研究发现：金融服务的有形性、可靠性、移情性、经济性对冷链物流企业采纳产业园金融服务影响显著，而响应性的影响不显著。同时
信息技术支持和知识共享的调节作用不显著。最后，针对产业园吸引冷链物流企业提供金融服务、冷链物流企业采纳产业园金融服务的风险，提出防范策略措施。
本研究聚焦冷链物流产业园金融服务助力冷链物流企业发展问题，主要研究内容包括：第一，基于产融结合理论，梳理冷链物流企业与产业园之间关系，从供需两侧探索冷链物流企业和产业园的金融服务的范围、类型和特点。第二，基于平台理论，构建冷链物流企业采纳产业园金融服务的研究模型，探索金融服务影响冷链物流企业的经营因素，分析冷链物流企业采纳产业园金融服务的因素和途径。第三，基于信息不对称理论，关切信息技术支持和知识分享在冷链物流企业采纳产业园提供金融服务过程中的调节作用。同时，梳理产业园提供金融服务可能面临哪些风险，制订冷链物流企业入驻园区的标准，防范风险。
本文运用实证研究方法，通过对国内18家冷链物流相关的产业园、物流园、冷链物流、商贸流通、金融等企业实地考察和专家访谈基础上，拟定问卷并对268家企业进行调查收集数据，使用结构方程模型进行假设检验。研究发现：金融服务的有形性、可靠性、移情性、经济性对冷链物流企业采纳产业园金融服务影响显著，而响应性的影响不显著。同时
信息技术支持和知识共享的调节作用不显著。最后，针对产业园吸引冷链物流企业提供金融服务、冷链物流企业采纳产业园金融服务的风险，提出防范策略措施。
ContributorsYang, Su (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2019
Description
Video conferencing applications, such as Skype, have long been used in classroom settings. Although musicians have been conducting online lessons for years, and institutions such as the Berklee School of Music and the Manhattan School of Music offer online music classes, scholarly research concerning online video conferencing music lessons is limited. Most studies of video conferencing lessons are based on subjective answers, making it difficult to yield conclusive results. As such, the only basis to evaluate the efficacy of video conferencing lessons are those from opinions. This study offers quantitative research on online video conferencing lessons. Between September and December 2017, 22 cello students from Muscatine High School received weekly private online lessons. Students filled out surveys using a Likert scale to rate these lessons and how they felt video and audio quality affected them. Students also received in-person lessons during October 23 or 24 to compare this experience to online lessons. The responses collected throughout the semester were compiled and sorted to reveal data trends. Using information derived from the data, this study concludes that online video conferencing lessons were less productive than in-person lessons but were still effective. In addition, average lesson ratings improved significantly after meeting in-person. In conclusion, this study found that online private lessons are feasible for high school students.
ContributorsPark, Yeil (Author) / Landschoot, Thomas (Thesis advisor) / Caslor, Jason (Thesis advisor) / Campbell, Andrew (Committee member) / Holbrook, Amy (Committee member) / Arizona State University (Publisher)
Created2019
Description
Health is among the most basic needs of the people and driving force of social and economic development. The health nutrition & wellness industry is gradually becoming a global sunrise industry . However, the industry is faced many problems and challenges including weaknesses in the industry structure, fragmentations of supply chain, low
efficiency in resources allocation, and lacking in quality on personnel training. To achieve core competitiveness and value creation, it is important that the health nutrition & wellness industry must meet the needs of Chinese market and its customers with a customer centric perspective to design a firm’s organization strucrture and management processes. This thesis is based on an analysis of the competitive landscape faced by the nutrition & wellness industry as exemplified by By-Health.Ltd. The investigation begins with an analysis and synthsis of the common industry practices on sales & distribution channels for their underlying similarities and differences in product strategies, branding strategies, and agency models on incentive design and profit sharing mechanisms. Through an empirical survey, this thesis also investigate customer’s demand for nutritious and healthy products. The results through factor analysis reveal that such demands are driven by individual factor, product factor, enterprise factor and environmental factor. The study concludes with a proposed framework to link customer value through three innovative designs in sales and distribution: community marketing model, sharing marketing model and Internet factory marketing model.
efficiency in resources allocation, and lacking in quality on personnel training. To achieve core competitiveness and value creation, it is important that the health nutrition & wellness industry must meet the needs of Chinese market and its customers with a customer centric perspective to design a firm’s organization strucrture and management processes. This thesis is based on an analysis of the competitive landscape faced by the nutrition & wellness industry as exemplified by By-Health.Ltd. The investigation begins with an analysis and synthsis of the common industry practices on sales & distribution channels for their underlying similarities and differences in product strategies, branding strategies, and agency models on incentive design and profit sharing mechanisms. Through an empirical survey, this thesis also investigate customer’s demand for nutritious and healthy products. The results through factor analysis reveal that such demands are driven by individual factor, product factor, enterprise factor and environmental factor. The study concludes with a proposed framework to link customer value through three innovative designs in sales and distribution: community marketing model, sharing marketing model and Internet factory marketing model.
ContributorsGong, Binghui (Author) / Pei, Ker-Wei (Thesis advisor) / Cui, Haitao (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
Description
When preparing for and responding to disasters, humanitarian organizations must run effective and efficient supply chains to deliver the resources needed by the affected population. The management of humanitarian supply chains include coordinating the flows of goods, finances, and information. This dissertation examines how humanitarian organizations can improve the distribution of information, which is critical for the planning and coordination of the other two flows. Specifically, I study the diffusion of information on social media platforms since such platforms have emerged as useful communication tools for humanitarian organizations during times of crisis.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
ContributorsYoo, Eunae (Author) / Rabinovich, Elliot (Thesis advisor) / Gu, Bin (Thesis advisor) / Rand, William (Committee member) / Fowler, John (Committee member) / Arizona State University (Publisher)
Created2018
Description
This research paper examines Guillaume Lekeu's Sonata for Piano and Violin (1892) from the perspective of a collaborative pianist, providing historical background, an analysis of the work's musical structure, and performance practice insights. Each chapter offers the performer a deeper understanding of various aspects concerning the work, including an in-depth analysis of cyclical features used by Lekeu.
Lekeu was strongly influenced by his teacher, César Franck, and in particular by Franck's use of cyclic techniques, which profoundly impacted Lekeu's Sonata for Piano and Violin. The cyclic treatment, which includes cyclic themes, cyclic motives, and non-cyclic themes is discussed, enabling performers to achieve a relevant structural approach to this work. A performance guide includes practical advice for the interpretation and performance of the work, along with piano pedaling suggestions. The integration of these aspects enables a pianist to gain a better understanding and appreciation of Lekeu's Sonata for Piano and Violin.
Lekeu was strongly influenced by his teacher, César Franck, and in particular by Franck's use of cyclic techniques, which profoundly impacted Lekeu's Sonata for Piano and Violin. The cyclic treatment, which includes cyclic themes, cyclic motives, and non-cyclic themes is discussed, enabling performers to achieve a relevant structural approach to this work. A performance guide includes practical advice for the interpretation and performance of the work, along with piano pedaling suggestions. The integration of these aspects enables a pianist to gain a better understanding and appreciation of Lekeu's Sonata for Piano and Violin.
ContributorsZhang, Dongfang (Author) / Ryan, Russell (Thesis advisor) / Campbell, Andrew (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2018
Description
Louis Hector Berlioz (1803-1869) was a pioneer of 19th century Romanticism in France. In the mid-19th century, he broke the traditional mold by connecting poetry and music through French song. This development transformed French song from the simple and structured Romance of the 18th century into the structural freedom of what he established as the a Mélodie. His song cycle Les nuits d’été, op 7 was composed first for voice and piano in 1841 and later arranged for voice and orchestra in 1856. After the 1856 orchestral version was completed, Les nuits d’été received greater recognition than it had from its original scoring for voice and piano.
This paper examines three major aspects to Les nuits d’été. First, it will discuss the reasons why Berlioz re-scored the work for orchestra and transposed the vocal part for various voice types in this later orchestral version. Second, it examines the difference between musical interactions in these two versions by comparing the existing scores of each version with its respective accompaniment based on Berlioz's use of word painting. Finally, this paper provides the author's original transcription of Les nuits d’été in a version for voice and piano that incorporates the later orchestral versions which were not included in the original version for voice and piano.
This paper examines three major aspects to Les nuits d’été. First, it will discuss the reasons why Berlioz re-scored the work for orchestra and transposed the vocal part for various voice types in this later orchestral version. Second, it examines the difference between musical interactions in these two versions by comparing the existing scores of each version with its respective accompaniment based on Berlioz's use of word painting. Finally, this paper provides the author's original transcription of Les nuits d’été in a version for voice and piano that incorporates the later orchestral versions which were not included in the original version for voice and piano.
ContributorsSeol, Yeojin (Author) / Campbell, Andrew (Thesis advisor) / Britton, David (Committee member) / Ryan, Russell (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2017
Description
Online product ratings offer consumers information about products. In this dissertation, I explore how the design of the rating system impacts consumers’ sharing behavior and how different players are affected by rating mechanisms. The first two chapters investigate how consumers choose to share their experiences of different attributes, how their preferences are reflected in numerical ratings and textual reviews, whether and how multi-dimensional rating systems affect consumer satisfaction through product ratings, and whether and how multi-dimensional rating systems affect the interplay between numerical ratings and textual reviews. The identification strategy of the observational study hinges on a natural experiment on TripAdvisor when the website reengineered its rating system from single-dimensional to multi-dimensional in January 2009. Rating data on the same set of restaurants from Yelp, were used to identify the causal effect using a difference-in-difference approach. Text mining skills were deployed to identify potential topics from textual reviews when consumers didn’t provide dimensional ratings in both SD and MD systems. Results show that ratings in a single-dimensional rating system have a downward trend and a higher dispersion, whereas ratings in a multi-dimensional rating system are significantly higher and convergent. Textual reviews in MDR are in greater width and depth than textual reviews in SDR. The third chapter tries to uncover how the introduction of monetary incentives would influence different players in the online e-commerce market in the short term and in the long run. These three studies together contribute to the understanding of rating system/mechanism designs and different players in the online market.
ContributorsLiu, Ying (Author) / Chen, Pei-Yu (Thesis advisor) / Hong, Yili (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018
Description
Due to the growing popularity of the Internet and smart mobile devices, massive data has been produced every day, particularly, more and more users’ online behavior and activities have been digitalized. Making a better usage of the massive data and a better understanding of the user behavior become at the very heart of industrial firms as well as the academia. However, due to the large size and unstructured format of user behavioral data, as well as the heterogeneous nature of individuals, it leveled up the difficulty to identify the SPECIFIC behavior that researchers are looking at, HOW to distinguish, and WHAT is resulting from the behavior. The difference in user behavior comes from different causes; in my dissertation, I am studying three circumstances of behavior that potentially bring in turbulent or detrimental effects, from precursory culture to preparatory strategy and delusory fraudulence. Meanwhile, I have access to the versatile toolkit of analysis: econometrics, quasi-experiment, together with machine learning techniques such as text mining, sentiment analysis, and predictive analytics etc. This study creatively leverages the power of the combined methodologies, and apply it beyond individual level data and network data. This dissertation makes a first step to discover user behavior in the newly boosting contexts. My study conceptualize theoretically and test empirically the effect of cultural values on rating and I find that an individualist cultural background are more likely to lead to deviation and more expression in review behaviors. I also find evidence of strategic behavior that users tend to leverage the reporting to increase the likelihood to maximize the benefits. Moreover, it proposes the features that moderate the preparation behavior. Finally, it introduces a unified and scalable framework for delusory behavior detection that meets the current needs to fully utilize multiple data sources.
ContributorsLi, Chunxiao (Author) / Gu, Bin (Thesis advisor) / Chen, Pei-Yu (Committee member) / Xiong, Hui (Committee member) / Arizona State University (Publisher)
Created2019
Description摘要
当前中国农村集体经济呈现出后劲不足、区域失衡等问题。在此背景下，如何破解集体经济发展困境、实现其从梯度到均衡的演进成为学术领域关注的热点。本文梳理总结了国内外集体经济的相关研究成果，阐述了主要涉及的基础概念、理论和方法模型；以2008~2015年无锡市滨湖区92个村为研究样本，分析了该区域集体经济的发展现状和演变进程；构建面板回归模型，探索了该区域集体经济发展的驱动因素与分布不平衡性；并从空间关联视角切入，探索了驱动因素的溢出效应；最后基于研究结果提出对策建议。主要结论如下：
（1）2008~2015年，92个村的村级集体经济发展整体呈现上升趋势，但地区间的贫富差距明显；2008年、2011年和2015年92个村按村级集体经济总收入可划分为高、中、低3类，并且在不同时段，各等级间的村级集体单位会相互迁移；集体经济收入呈现明显的右偏分布，尖峰厚尾的特征显著。随着时间的推移，集体经济发展出现了“双峰趋同”的现象。
（2）普通面板回归显示，物质资本、经济工作能力、科技进步对于村级集体经济发展有正向的依次减弱的影响，人口数量的影响为负；面板分位数回归显示，随着分位数水平的提高，物质资本系数先上升、后下降再上升；经济工作能力系数逐渐减小；人口规模系数先下降后上升；科技进步系数波动上升。
（3）空间计量结果显示，各变量对于村级集体经济发展具有一定的溢出效应，其中，物质资本的溢出效应为正（不显著），经济工作能力的溢出效应为正（显著），人口因素的溢出效应为负（不显著），科技进步的溢出效应为正（显著）。
本文的创新之处在于使用较难获取的2008-2015年92个村面板数据进行回归，相比于截面数据，更准确地测度了各要素对集体经济的真实影响；将空间关联因素纳入研究视域，探究了村级集体经济驱动因素的空间溢出效应。
当前中国农村集体经济呈现出后劲不足、区域失衡等问题。在此背景下，如何破解集体经济发展困境、实现其从梯度到均衡的演进成为学术领域关注的热点。本文梳理总结了国内外集体经济的相关研究成果，阐述了主要涉及的基础概念、理论和方法模型；以2008~2015年无锡市滨湖区92个村为研究样本，分析了该区域集体经济的发展现状和演变进程；构建面板回归模型，探索了该区域集体经济发展的驱动因素与分布不平衡性；并从空间关联视角切入，探索了驱动因素的溢出效应；最后基于研究结果提出对策建议。主要结论如下：
（1）2008~2015年，92个村的村级集体经济发展整体呈现上升趋势，但地区间的贫富差距明显；2008年、2011年和2015年92个村按村级集体经济总收入可划分为高、中、低3类，并且在不同时段，各等级间的村级集体单位会相互迁移；集体经济收入呈现明显的右偏分布，尖峰厚尾的特征显著。随着时间的推移，集体经济发展出现了“双峰趋同”的现象。
（2）普通面板回归显示，物质资本、经济工作能力、科技进步对于村级集体经济发展有正向的依次减弱的影响，人口数量的影响为负；面板分位数回归显示，随着分位数水平的提高，物质资本系数先上升、后下降再上升；经济工作能力系数逐渐减小；人口规模系数先下降后上升；科技进步系数波动上升。
（3）空间计量结果显示，各变量对于村级集体经济发展具有一定的溢出效应，其中，物质资本的溢出效应为正（不显著），经济工作能力的溢出效应为正（显著），人口因素的溢出效应为负（不显著），科技进步的溢出效应为正（显著）。
本文的创新之处在于使用较难获取的2008-2015年92个村面板数据进行回归，相比于截面数据，更准确地测度了各要素对集体经济的真实影响；将空间关联因素纳入研究视域，探究了村级集体经济驱动因素的空间溢出效应。
ContributorsJin, Liang (Author) / Gu, Bin (Thesis advisor) / Zhang, Anmin (Thesis advisor) / Zhu, Qigui (Committee member) / Arizona State University (Publisher)
Created2019
Description近年来，金融领域各行业采用和移动互联网技术相结合的方式，发展异常迅猛。金融科技率先催生了近4万家P2P网络借贷平台，这些平台在利用移动金融技术与主流传统银行竞争的过程中，占据了大量技术和市场优势。结合我国农村商业银行发展现状，如果农商行能够有效利用移动金融技术优势，则其运营成本或会降低，获客效率、服务多样性等或将得以有效提升，从而使其竞争力得以提高, 更好地服务农民、农村和农业经济。本文旨在系统地探究以手机银行APP为代表的移动金融科技对农商行行间竞争力影响。
本文搜集了全国84家农商行APP数据，定量地从业务覆盖范围、增值服务全面性、易用性、安全性、系统稳定性等五个维度对APP给出综合质量评分，并采用层次分析法给出各农商行竞争力排名。在系统地分析银行竞争力与其APP质量、发布时间、更新次数等相关关系后，总体发现APP质量对银行竞争力至关重要。具体地，排名下降的农商行的年均更新次数与排名变化正相关，也即年均更新次数越多的银行，排名上升越多；而对排名上升的农商行，年均更新次数与排名变化则呈现负相关。竞争力排名上升的农商行，其APP平均发布时间与排名变化呈正相关，而竞争力排名下降的农商行的平均发布时间与排名变化则呈负相关。
进一步地，基于《中国商业银行竞争力报告》中对农商行的排名，本文进一步分析了移动金融科技对不同规模的农商行竞争力排名影响。研究发现：对于资产规模较大（>1000亿元）的农商行，APP年平均更新次数较多的银行，往往竞争力排名有所提高。而对于中等及小资产规模的农商行而言，APP年平均更新次数较多的银行，往往竞争力排名有所下降。对于较大和较小规模的农商行，APP平均发布时间长反而会降低银行竞争力，而对于中等规模的农商行，较长的平均发布时间下，其竞争力会有所提高。
最后，针对本文定量的研究模型和实证数据，本文给出了具体研究结论及展望，并就如何提高农村商业银行竞争力，给出了建议方法以及相关政策性建议。
本文搜集了全国84家农商行APP数据，定量地从业务覆盖范围、增值服务全面性、易用性、安全性、系统稳定性等五个维度对APP给出综合质量评分，并采用层次分析法给出各农商行竞争力排名。在系统地分析银行竞争力与其APP质量、发布时间、更新次数等相关关系后，总体发现APP质量对银行竞争力至关重要。具体地，排名下降的农商行的年均更新次数与排名变化正相关，也即年均更新次数越多的银行，排名上升越多；而对排名上升的农商行，年均更新次数与排名变化则呈现负相关。竞争力排名上升的农商行，其APP平均发布时间与排名变化呈正相关，而竞争力排名下降的农商行的平均发布时间与排名变化则呈负相关。
进一步地，基于《中国商业银行竞争力报告》中对农商行的排名，本文进一步分析了移动金融科技对不同规模的农商行竞争力排名影响。研究发现：对于资产规模较大（>1000亿元）的农商行，APP年平均更新次数较多的银行，往往竞争力排名有所提高。而对于中等及小资产规模的农商行而言，APP年平均更新次数较多的银行，往往竞争力排名有所下降。对于较大和较小规模的农商行，APP平均发布时间长反而会降低银行竞争力，而对于中等规模的农商行，较长的平均发布时间下，其竞争力会有所提高。
最后，针对本文定量的研究模型和实证数据，本文给出了具体研究结论及展望，并就如何提高农村商业银行竞争力，给出了建议方法以及相关政策性建议。
ContributorsHuang, Darong (Author) / Gu, Bin (Thesis advisor) / Chen, Son-Nan (Thesis advisor) / Li, Xiaoyang (Committee member) / Arizona State University (Publisher)
Created2019